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Open Termux, then run these commands
pkg install x11-repo
pkg install nodejs firefoxOpen Termux, then run these commands
pkg install x11-repo
pkg install nodejs firefoxA pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
| { | |
| "nodes": [ | |
| { | |
| "parameters": { | |
| "promptType": "define", | |
| "text": "vas y", | |
| "hasOutputParser": true, | |
| "options": { | |
| "systemMessage": "You are a silent observer of the human condition. Your mission is to craft deeply relatable, hard-hitting late-night thoughts about life, time, regret, anxiety, and internal struggles, pairing them with an atmospheric visual concept.\n\nThe Core Atmosphere:\nThink of \"late-night thoughts\" or \"core memories\"—those raw, sudden realizations that hit you when the world goes quiet. The tone is not preachy, overly positive, or artificially sweet. It is a mix of melancholy and comfort, presenting a stark truth about human nature that unexpectedly offers relief. It must address universal, deeply human experiences: the fear of wasting life, fighting your own mind, being obsessed with the future, or carrying the weight of the past.\n\nCreation Directives:\n1. The Quote (in English): Craft a short, impactful reflection. Use contrasting s |
Disclaimer: ChatGPT generated document.
Valgrind is a dynamic binary instrumentation framework and tool suite. In practice, that means it runs your compiled program on a synthetic CPU, intercepts memory allocation and threading primitives, and attaches tool-specific analyses to every relevant instruction. The current official release is 3.26.0 dated 24 October 2025. The Valgrind distribution includes Memcheck, Cachegrind, Callgrind, Massif, Helgrind, DRD, DHAT, plus some other and experimental tools. ([valgrind.org][1])
For a C++ engineer, the one-sentence summary is: **Valgrind is still one of the best “truth serum” tools for native code correctness and low-level runtime inspection, especially for heap misuse, leaks, uninitialized-value flow, allocator mismatches, and ce
| Pretendo 2026 Setup Guide for 3DS/2DS | |
| 1. Install and launch Universal Updater. | |
| 2. Locate Pretendo/Nimbus and install the CIA version. | |
| 3. Return to the Home Menu, open Pretendo/Nimbus, and confirm the closure of Universal Updater. | |
| 4. Launch the Pretendo/Nimbus application and select Nintendo. | |
| 5. Open the eShop and confirm the closure of Pretendo/Nimbus. | |
| 6. After connecting to the eShop, return to the Home Menu, open Pretendo/Nimbus, and confirm the closure of the eShop. | |
| 7. Attempt to sign in to your account via System Settings by selecting Nintendo Network ID. |
A pattern for building personal knowledge bases using LLMs. Extended with lessons from building agentmemory 10K Stars ⭐️, a persistent memory engine for AI coding agents.
This builds on Andrej Karpathy's original LLM Wiki idea file. Everything in the original still applies. This document adds what we learned running the pattern in production: what breaks at scale, what's missing, and what separates a wiki that stays useful from one that rots.
Currently, Working on AKBP: Agent Knowledge Base Protocol based on my findings, a protocol for creating, updating, retrieving, and sharing durable knowledge across AI agents.